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Stochastic sampling of the hyperspherical von misesGÇôfisher distribution without rejection methods
2015 Edition, October 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

We propose a novel sampling algorithm for the von Mises-Fisher distribution on the unit hypersphere. Unlike previous works, we show a solution for an arbitrary number of dimensions without requiring rejection sampling. As a result,...

Stochastic sampling based data association
2010 Edition, June 1, 2010 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper considers how to determine the origin of a single measurement originating from one of a group of objects moving in close proximity. During the time in which measurements are being received, the dynamics of the various objects are...

Observer-Based Consensus for Multiagent Systems Under Stochastic Sampling Mechanism
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper is concerned with the consensus problem of general linear dynamic multiagent systems with stochastic sampling. In this paper, the sampling intervals randomly switch between two different values. The communication topology between agents is...

Consensus in Networked Multi-agent Systems With Stochastic Sampling
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This brief addresses the consensus problem in networks with stochastic sampling, assuming that the sampling intervals are independently and identically distributed. Necessary and sufficient conditions to guarantee mean square consensus of both first-order...

Generalised Filters and Stochastic Sampling Zeros
2005 Edition, January 1, 2005 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

It is well-known that the zeros of sampled-data models for deterministic systems depend on the hold device used to generate the continuous-time system input. A dual result holds also for stochastic systems. In the latter case, the zeros...

Stochastic Sampling for Internet Traffic Measurement
2007 Edition, May 1, 2007 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The increasing complexity of the Internet demands continued improvements to measurement techniques and data analysis methods to aid our understanding of network operation. The availability of accurate measurement data is necessary in many areas...

Ultra-low power probabilistic IMT neurons for stochastic sampling machines
2017 Edition, June 1, 2017 - Japan Society of Applied Physics - JSAP

Stochastic sampling machines (SSM) utilize neural sampling from probabilistic spiking neurons to escape local minima and prevent overfitting of training datasets [1]. This enables improved error rates compared to deterministic implementations, and, in turn, enables lower...

Nearest neighbor field driven stochastic sampling for abrupt motion tracking
2014 Edition, July 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Stochastic sampling based trackers have shown good performance for abrupt motion tracking so that they have gained popularity in recent years. However, the existing methods tend to explore the whole state space uniformly with an inefficiency preliminary...

Leader-Following Consensus of Nonlinear Multiagent Systems With Stochastic Sampling
2017 Edition, Volume 47, February 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper is concerned with sampled-data leader-following consensus of a group of agents with nonlinear characteristic. A distributed consensus protocol with probabilistic sampling in two sampling periods is proposed. First, a general consensus criterion is...

Stabilization of discrete-time systems with stochastic sampling
2012 Edition, July 1, 2012 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper is concerned with the stabilization problem of discrete-time systems with stochastic sampling. It is assumed that there are a single-rate sampling in the plant input and two stochastic sampling rates in the controller input...

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